DAMA Georgia
"Rethinking Data Strategy to Realize AI-Driven Outcomes," Takes you down a journey where the rubber did meet the road. Using a business case, we will explore the shift needed in data management approaches to align with strategic AI initiatives. Many dilemmas will confront you. The ideal situations truly do not exist.
Planning for data-, AI-, best practices- literacy is one way to handle it. We will review some of the challenges faced in building and designing a data management framework for a data product in Identity and Fraud.
This session aims to guide data professionals in crafting a data strategy that supports dynamic, AI-enhanced business landscapes, ensuring data integrity, relevance, and ethical handling at every step. Join us to reshape how you think about data's role in achieving AI success.
Presentation Slides: DAMA Chapter-Rethinking AI Strategy.pdf
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